One of the outcomes of Moore's Law - according to which the exponential growth of technical advances in computer science is pushing more and more of our computers into obsole...
Thimoty Barbieri, Franca Garzotto, Giovanni Beltra...
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
This work introduces a combinatorial optimization problem called Mars Express Memory Dumping Problem (Mex-Mdp), which arises in the European Space Agency program Mars Express. It c...
In text categorization, term selection is an important step for the sake of both categorization accuracy and computational efficiency. Different dimensionalities are expected und...